Neural Networks and Machine Learning
Christopher M. Bishop(Editor)
Springer (Publisher)
Published on 20. October 1998
Book
Hardback
XII, 353 pages
978-3-540-64928-1 (ISBN)
Description
In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern recognition, and make use of feedforward network architectures such as the multilayer perceptron and the radial basis function network. Also, it has become widely acknowledged that successful applications of neural computing require a principled, rather than ad hoc, approach.
(From the preface to "Neural Networks for Pattern Recognition" by C.M. Bishop, Oxford Univ Press 1995.)
This NATO volume, based on a 1997 workshop, presents a coordinated series of tutorial articles covering recent developments in the field of neural computing. It is ideally suited to graduate students and researchers.
(From the preface to "Neural Networks for Pattern Recognition" by C.M. Bishop, Oxford Univ Press 1995.)
This NATO volume, based on a 1997 workshop, presents a coordinated series of tutorial articles covering recent developments in the field of neural computing. It is ideally suited to graduate students and researchers.
More details
Series
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Illustrations
70 s/w Abbildungen
70 black & white illustrations, biography
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
670 gr
ISBN-13
978-3-540-64928-1 (9783540649281)
Schweitzer Classification